| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Furtado, Carolina
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2023A design methodology of composite scarf repairs using artificial intelligencecitations
- 2022MODE I CRACK PATH TRANSITIONS IN UNIDIRECTIONAL CARBON FIBRE COMPOSITES ANALYSED USING IN SITU 3D COMPUTED TOMOGRAPHY AND THE EXTENDED FINITE ELEMENT METHOD
- 2022In Situ Synchrotron X-ray Microtomography of Progressive Damage in Canted Notched Cross-Ply Composites with Interlaminar Nanoreinforcementcitations
- 2022Evaluation of digital volume correlation (DVC) applicability in silicon dioxide (SiO2) particle-doped carbon fibre reinforced polymers using in situ synchrotron radiation computed tomography (SRCT)
- 2021Modelling damage in multidirectional laminates subjected to multi-axial loadingcitations
- 2021A methodology to generate design allowables of composite laminates using machine learningcitations
- 2021A methodology to generate design allowables of composite laminates using machine learningcitations
- 2021Modelling damage in multidirectional laminates subjected to multi-axial loading:ply thickness effects and model assessmentcitations
- 2021In situ synchrotron computed tomography study of nanoscale interlaminar reinforcement and thin-ply effects on damage progression in composite laminatescitations
- 2020Is there a ply thickness effect on the mode I intralaminar fracture toughness of composite laminates?citations
- 2020Thin-ply polymer composite materials: a reviewcitations
- 2020Interlaminar to intralaminar mode I and II crack bifurcation due to aligned carbon nanotube reinforcement of aerospace-grade advanced compositescitations
- 2019Static and fatigue interlaminar shear reinforcement in aligned carbon nanotube-reinforced hierarchical advanced compositescitations
- 2019Simulation of failure in laminated polymer composites: building-block validationcitations
- 2019Damage micro-mechanisms in notched hierarchical nanoengineered thin-ply composite laminates studied by in situ synchrotron x-ray microtomographycitations
- 2019Virtual calculation of the B-value allowables of notched composite laminatescitations
- 2019A micro-mechanics perspective to the invariant-based approach to stiffnesscitations
- 2018Synergetic effects of thin plies and aligned carbon nanotube interlaminar reinforcement in composite laminatescitations
- 2017Prediction of size effects in open-hole laminates using only the Young's modulus, the strength, and the R-curve of the 0 degrees plycitations
- 2017Interlaminar reinforcement of carbon fiber composites using aligned carbon nanotubes
- 2017Damage modelling of thin-ply nano-reinforced composite laminates
- 2017Synergetic effects of thin ply and nanostitching studied by synchrotron radiation computed tomography
- 2016Selective ply-level hybridisation for improved notched response of composite laminatescitations
- 2016Selective ply-level hybridisation for improved notched response
Places of action
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document
Evaluation of digital volume correlation (DVC) applicability in silicon dioxide (SiO2) particle-doped carbon fibre reinforced polymers using in situ synchrotron radiation computed tomography (SRCT)
Abstract
Digital Volume Correlation is a powerful non-intrusive technique capable of full-field strain mapping of internal structures via displacement tracking. The principles of DVC have been successfully applied to unidirectional (UD) Carbon Fibre Reinforced Polymers (CFRPs) by doping with trackable particles (i.e. fiducial<br/>markers), thereby enabling strain mapping of materials with an inherent self-similar microstructure [1]. In this paper, the utility of Silicon Dioxide (SiO2) particle-doped CFRPs for DVC analysis is investigated. Compared to previous use of BaTiO3 particles, SiO2 is investigated on the basis of having established commercial use in CFRPs, whilst from an imaging perspective it will be less strongly attenuating. In this paper, DVC combined with in situ Synchrotron Radiation Computed Tomography (SRCT) is applied to SiO2–doped UD CFRPs under quasi-static tensile loading to explore the evolution of individually fractured 0° fibre into clusters of breaks. DVC strain uncertainties are quantified through stationary and rigid body displacement tests, with results being compared for BaTiO3 and SiO2 particle-doped materials.